# Google Maps Menu Scraper (`seemuapps/google-maps-menu-scraper`) Actor

Scrape restaurant menus from Google Maps — every section, dish, description and price as structured rows, by search query or place URL.

- **URL**: https://apify.com/seemuapps/google-maps-menu-scraper.md
- **Developed by:** [Andrew](https://apify.com/seemuapps) (community)
- **Categories:** E-commerce, Travel, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.50 / 1,000 menu item results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Google Maps Menu Scraper

Extract full restaurant menus from Google Maps — every section, dish name, description, and price — as clean, structured rows. Search a cuisine + city or paste restaurant URLs and get a spreadsheet-ready dataset with one row per menu item, plus each restaurant's rating, price level, address, and official menu link.

### What you get

- **One row per menu item**: `section` (e.g. "Appetizers"), `itemName`, `itemDescription`, `price` as shown, parsed `priceValue` and `currency`, `itemIndex`, `totalItems`
- **Restaurant context on every row**: `placeName`, `placeAddress`, `placeCategory`, `placeRating`, `placeReviewCount`, `placePriceLevel`, `placeUrl`, `menuUrl` (the restaurant's own menu link when Google has it)
- **Identifiers**: `placeId`, `googlePlaceId`, `searchQuery`
- Optionally include restaurants without a structured menu (one row with the `menuUrl`)
- Export to CSV, Excel, JSON, or Google Sheets

### Use cases

- **Menu price intelligence** — compare dish prices across a city, cuisine, or competitor set; track price changes over time
- **Food delivery & aggregator apps** — seed catalogs with menus and prices for thousands of restaurants
- **Market research** — which dishes, ingredients, or price points dominate a neighborhood
- **Restaurant sales prospecting** — find restaurants with sparse or missing menus and pitch menu/ordering solutions
- **Nutrition & recipe datasets** — dish names and descriptions at scale

### How to use

1. Enter **Search queries** such as `pizza restaurants in Chicago` or `sushi in Soho London` — or paste restaurant **Place URLs or IDs**.
2. Set **Max places per query** (default 20).
3. Run — menu items stream into the **Dataset** tab; export as CSV.

### Output format

```json
{
  "placeName": "Pizzeria Portofino",
  "placeAddress": "317 N Clark St, Chicago, IL 60654",
  "placeCategory": "Pizza restaurant",
  "placeRating": 4.9,
  "placeReviewCount": 18407,
  "placePriceLevel": "$30–80",
  "placeUrl": "https://maps.google.com/?cid=10560855889418057816",
  "menuUrl": "https://www.pizzeriaportofino.com/menus/",
  "section": "Antipasti",
  "itemName": "Prosciutto San Daniele",
  "itemDescription": "Focaccia, Whipped Ricotta, Orange Marmalade",
  "price": "$25.00",
  "priceValue": 25,
  "currency": "USD",
  "itemIndex": 0,
  "totalItems": 222,
  "placeId": "0x880e2dde9df8be17:0x928fb27a44daf858",
  "googlePlaceId": "ChIJF774nd4tDogRWPjaRHqyj5I",
  "searchQuery": "pizza restaurants in Chicago",
  "scrapedAt": "2026-08-16T06:50:00.000Z"
}
```

### Pricing

Pay per menu item saved to the dataset. Restaurants without a structured menu cost nothing (unless you enable **Include restaurants without a menu**).

### FAQ

**Which restaurants have menus on Google Maps?** Most chains and popular independents in the US, UK, EU and Australia — typically 60–80% of search results in big cities. Restaurants that only upload a menu photo or PDF are not structured; you'll get their `menuUrl` instead when enabled.

**Are prices current?** They reflect what Google Maps shows at scrape time (usually synced from the restaurant's ordering/menu provider).

**Do I need a Google API key?** No.

# Actor input Schema

## `searchQueries` (type: `array`):

Restaurants to search on Google Maps, one query per line — e.g. "pizza restaurants in Chicago", "sushi in Soho London".

## `placeUrls` (type: `array`):

Alternatively (or additionally) scrape menus for specific restaurants — Google Maps place URLs, maps.app.goo.gl short links, ?cid= links, Place IDs (ChIJ…) or hex IDs (0x…:0x…).

## `maxPlacesPerQuery` (type: `integer`):

Maximum number of restaurants to process per search query (Google Maps returns at most ~120 per query). 0 = everything Google returns.

## `includePlacesWithoutMenu` (type: `boolean`):

Restaurants with no structured menu on Google Maps are skipped by default. Enable to save one row per such restaurant anyway (with its menuUrl link, if any).

## `language` (type: `string`):

Language code for results, e.g. en, de, fr, es, pt-BR.

## `country` (type: `string`):

Two-letter country code that biases search results, e.g. us, gb, de, au.

## `proxyConfiguration` (type: `object`):

Optional. By default the actor connects directly and automatically falls back to Apify datacenter → residential proxies only if Google starts blocking. Set a specific proxy here to force it for all requests.

## Actor input object example

```json
{
  "searchQueries": [
    "pizza restaurants in Chicago"
  ],
  "placeUrls": [],
  "maxPlacesPerQuery": 20,
  "includePlacesWithoutMenu": false,
  "language": "en",
  "country": "us",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `results` (type: `string`):

One menu item per record: placeName, placeAddress, placeCategory, placeRating, placePriceLevel, placeUrl, menuUrl, section, itemName, itemDescription, price, priceValue, currency, itemIndex, totalItems, placeId, googlePlaceId, searchQuery.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchQueries": [
        "pizza restaurants in Chicago"
    ],
    "placeUrls": [],
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("seemuapps/google-maps-menu-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searchQueries": ["pizza restaurants in Chicago"],
    "placeUrls": [],
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("seemuapps/google-maps-menu-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchQueries": [
    "pizza restaurants in Chicago"
  ],
  "placeUrls": [],
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call seemuapps/google-maps-menu-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,seemuapps/google-maps-menu-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/0B3RF8vMaoZS9OOeK/builds/vCLgoZnebpunYWxUw/openapi.json